Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:11.393969Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2505.17065.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:11.393969Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
66 of 66 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Decoding Rarity: Large Language Models in the Diagnosis of Rare Diseases Learning to make rare and complex diagnoses with generative ai assistance: quali- tative study of popular large language models
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Decoding Rarity: Large Language Models in the Diagnosis of Rare Diseases Assessing dxgpt: Diagnosing rare diseases with various large language models
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Decoding Rarity: Large Language Models in the Diagnosis of Rare Diseases Biological network analysis: Trends, approaches, graph theory, and algorithms, 2020
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Decoding Rarity: Large Language Models in the Diagnosis of Rare Diseases A systematic overview of rare disease patient reg- istries: challenges in design, quality management, and maintenance
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Decoding Rarity: Large Language Models in the Diagnosis of Rare Diseases PubMedQA: A Dataset for Biomedical Research Question Answering
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Decoding Rarity: Large Language Models in the Diagnosis of Rare Diseases Assessing the utility of large language models for phenotype-driven gene prioritization in the diagnosis of rare genetic disease
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Decoding Rarity: Large Language Models in the Diagnosis of Rare Diseases Estimating cumulative point prevalence of rare diseases: analysis of the orphanet database
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No inbound Pith citation observations are available.